Hyperscale Data (GPUS) EBITDA (2010 - 2026)
Hyperscale Data (GPUS) posted quarterly EBITDA of -$21.3 million for Q1 2026, down 233.24% year-over-year from $16.0 million in Q1 2025, and up 32.89% quarter-over-quarter from -$31.7 million in Q4 2025.
Hyperscale Data (GPUS) EBITDA (2010 - 2026) Analysis & Trends
Hyperscale Data (GPUS) has reported EBITDA for 17 consecutive years, with -$21.3 million the latest figure, recorded in Q1 2026.
- In Q1 2026, EBITDA fell 233.24% year-over-year to -$21.3 million; the TTM figure through Mar 2026 stood at -$77.2 million (down 15.14% YoY), while the FY2025 annual figure was -$62.3 million, down 9.29% from the prior year.
- EBITDA improved to -$21.3 million in Q1 2026 per GPUS's latest filing, from -$31.7 million in the prior quarter.
- Across five years, EBITDA topped out at $3.7 million in Q1 2024 and bottomed at -$111.3 million in Q4 2022.
- Historically, EBITDA has averaged -$25.6 million across 5 years, with a median of -$21.3 million in 2026.
- Annual changes were most pronounced in 2023 — EBITDA slumped 2999.32% — and 2024, when it jumped 112.25%.
- Hyperscale Data's EBITDA stood at -$111.3 million in 2022, then surged by 53.16% to -$52.1 million in 2023, then surged by 82.54% to -$9.1 million in 2024, then plunged by 248.16% to -$31.7 million in 2025, then surged by 32.89% to -$21.3 million in 2026.
- Business Quant data shows GPUS's EBITDA at -$21.3 million in Q1 2026, -$31.7 million in Q4 2025, and -$14.1 million in Q3 2025.
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Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 358.52 Bn | 349.17 Bn | 6.95 Bn | -3.91 Bn |
| 2 | Rtx | 287.21 Bn | 278.91 Bn | 9.91 Bn | 2.81 Bn |
| 3 | Boeing | 170.11 Bn | 150.08 Bn | 2.41 Bn | 156.00 Mn |
| 4 | Lockheed Martin | 131.49 Bn | 127.70 Bn | 2.45 Bn | 2.48 Bn |
| 5 | Howmet Aerospace | 109.12 Bn | 108.56 Bn | 951.00 Mn | 711.00 Mn |
| 6 | General Dynamics | 104.21 Bn | 99.88 Bn | 6.76 Bn | 1.46 Bn |
| 7 | Northrop Grumman | 80.06 Bn | 77.76 Bn | 3.72 Bn | 1.10 Bn |
| 8 | TransDigm | 67.85 Bn | 65.08 Bn | 1.63 Bn | 1.23 Bn |
| 9 | L3Harris Technologies | 50.31 Bn | 48.79 Bn | 1.50 Bn | 654.00 Mn |
| 10 | Hyperscale Data | 34.27 Mn | 3.88 Mn | 15.07 Mn | -21.27 Mn |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | -21.27 Mn |
| Dec 31, 2025 | -31.70 Mn |
| Sep 30, 2025 | -14.06 Mn |
| Jun 30, 2025 | -10.13 Mn |
| Mar 31, 2025 | -6.38 Mn |
| Dec 31, 2024 | -9.11 Mn |
| Sep 30, 2024 | -24.60 Mn |
| Jun 30, 2024 | -26.93 Mn |
| Mar 31, 2024 | 3.66 Mn |
| Dec 31, 2023 | -52.15 Mn |
| Sep 30, 2023 | -20.35 Mn |
| Jun 30, 2023 | -50.51 Mn |
| Mar 31, 2023 | -29.86 Mn |
| Dec 31, 2022 | -111.33 Mn |
| Sep 30, 2022 | -7.01 Mn |
| Jun 30, 2022 | -23.72 Mn |
| Mar 31, 2022 | 1.03 Mn |
| Dec 31, 2021 | -15.51 Mn |
| Sep 30, 2021 | -49.87 Mn |
| Jun 30, 2021 | 45.82 Mn |